Ayush Garg
Quantitative Researcher
Gurugram, Haryana, India
Summary
🤩
Rockstar🎓
Top SchoolAyush Garg is a quantitative researcher with nine years of experience applying data science and machine learning to real-world problems, currently at NK Securities in Gurugram. He progressed through multiple roles at Microsoft—from Data Science Intern to Data & Applied Scientist II—where he shipped applied ML solutions before moving into quantitative research in finance. His background includes NLP research at Samsung R&D and a B.Tech (Honors) in Computer Science from IIT Bombay, reflecting strong foundations in both theory and engineering. Ayush combines production-focused model development with a research mindset, comfortable moving models from prototyping to deployment. He brings domain versatility—spanning recommendation/NLP systems to quantitative trading research—and a track record of accelerating projects across industry-leading teams. A practical problem-solver, he often bridges gaps between experimental research and production constraints to deliver measurable impact.
9 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Bombay
Github Skills (13)
computer-vision10
machine-learning10
cntk10
deep-learning10
python10
java10
tensorflow9
deep-neural-networks9
microsoft9
neural-network9
pytorch9
ml8
data-science8
Programming languages (1)
Github contributions (4)
microsoft/CNTK
Nov 2016 - Nov 2016
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Contributions:9 commits, 30 pushes, 11 branches in 7 days
pytorchpythondeep-learningc-plus-plusmachine-learning
singaxiong/CNTK
Nov 2016 - Nov 2016
Contributions:2 commits in 1 day
cognitive-toolkitcntkcognitivemicrosoft
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